Da-opolies, AI, and Web3

  1. Calzada, Igor 1
  1. 1 Cardiff University
    info

    Cardiff University

    Cardiff, Reino Unido

    ROR https://ror.org/03kk7td41

Konferenzberichte:
Research & Innovation Forum 2024. Ravello (Italy), 10-12 April.

Datum der Publikation: 2024

Art: Konferenz-Beitrag

Zusammenfassung

This paper investigates the concept of "data-opolies" within the realms of Web3 and Artificial Intelligence (AI), highlighting their implications for democratic erosion and the AI revolution's impact on business and society. It defines data-opolies as dominant entities in data control, usually large tech corporations, whose influence extends over vast data troves, thereby affecting market competition and democratic transparency. The paper discusses how the monopolization of data by these entities leads to a significant imbalance in power dynamics, challenging the democratic fabric of society. Addressing the theme of the AI revolution, the paper explores how AI, as a tool in the hands of data-opolies, further amplifies their influence, raising concerns about privacy, ethical use of AI, and equitable access to technology. It argues that the concentration of data and AI capabilities in the hands of a few creates a socio-economic divide and poses a threat to the democratic process by potentially manipulating public opinion and information flow. The latter part of the paper focuses on the emergence of Web3 technologies as a countermeasure to the dominance of data-opolies. It examines how Web3 innovations offer a decentralized, emerging, disruptive, transparent, and user-empowering alternative to traditional data control models. These emerging technologies are presented as potential tools for democratizing data ownership, ensuring greater individual autonomy, and fostering a more inclusive digital economy. Having said that, the paper questions these assumptions amid Web3 and AI realms. In conclusion, the paper emphasizes the need for a balanced approach in leveraging AI and Web3 to mitigate the democratic erosion caused by data-opolies. It calls for collaborative efforts between agents around multistakeholder approach to develop regulatory frameworks and ethical guidelines that align with democratic values and ensure responsible use of AI and data in society.